Article Published: An Investigation of Chi-square and Entropy-Based Methods of Item-Fit Using Item-Level Contamination in Item Response Theory

Dr. William Dardick and Dr. Brandi Weiss published an article titled, "An investigation of chi-square and entropy-based methods of item-fit using item-level contamination in item response theory" in the Journal of Modern Applied Statistical Methods, 18(2), EP3208. (DOI: 10.22237/jmasm/1604190480).

Abstract

New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carlo simulation(s) examine aberrant conditions of item-level misfit to evaluate relative (compare EMR_j, X², G², S-X², and PV-Q₁) and absolute (Type I error and empirical power) performance. EMR_j has utility in discovering misfit.  

(Publication Date: October 2, 2020)

Keywords: item response theory, IRT item-fit, IRT model fit, Monte Carlo simulation.